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» On compressing frequent patterns
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ICDAR
2009
IEEE
15 years 10 months ago
Scalable Feature Extraction from Noisy Documents
We cope with the metadata recognition in layoutoriented documents. We address the problem as a classification task and propose a method for automatic extraction of relevant featu...
Loïc Lecerf, Boris Chidlovskii
PPOPP
2005
ACM
15 years 9 months ago
A sampling-based framework for parallel data mining
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
Shengnan Cong, Jiawei Han, Jay Hoeflinger, David A...
BIS
2010
159views Business» more  BIS 2010»
14 years 11 months ago
Comparing Intended and Real Usage in Web Portal: Temporal Logic and Data Mining
Nowadays the software systems, including web portals, are developed from a priori assumptions about how the system will be used. However, frequently these assumptions hold only par...
Jérémy Besson, Ieva Mitasiunaite, Au...
SOFSEM
1998
Springer
15 years 8 months ago
The Reconstruction of Convex Polyominoes from Horizontal and Vertical Projections
Abstract. The problem of reconstructing a discrete set from its horizontal and vertical projections (RSP) is of primary importance in many different problems for example pattern re...
Maciej Gebala
SBBD
2004
166views Database» more  SBBD 2004»
15 years 5 months ago
An Apriori-based Approach for First-Order Temporal Pattern Mining
Previous studies on mining sequential patterns have focused on temporal patterns specified by some form of propositional temporal logic. However, there are some interesting sequen...
Sandra de Amo, Daniel A. Furtado, Arnaud Giacomett...